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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-29 18:58:41</p>
            <p>spark.kmedoids.eval.synthetic.TestCase : -r Dropbox/eurecom-cluster/results/ -d gaussian_10_12_100000 -s 200000000 -s 400000000 -s 600000000 -s 800000000 -s 1000000000 -s 1200000000 -s 1400000000 -s 1600000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.synthetic.ClaransTest</li>
                                    <li>spark.kmedoids.eval.synthetic.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100180-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>567.1831160380715</td>
                                                <td>29261</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>565.6599028170234</td>
                                                <td>29716</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>571.9222121723179</td>
                                                <td>29614</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>570.7409825069968</td>
                                                <td>29290</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>565.5397985465586</td>
                                                <td>29338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>565.628768670318</td>
                                                <td>29307</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>567.719280601119</td>
                                                <td>29658</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>565.3189506668585</td>
                                                <td>29385</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>574.1691876119837</td>
                                                <td>28905</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>563.8218093670029</td>
                                                <td>29609</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>566.1904668524006</td>
                                                <td>29932</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>566.9790335047818</td>
                                                <td>29555</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>568.7378060944152</td>
                                                <td>29631</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>568.3372037170213</td>
                                                <td>30459</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>576.5304206897291</td>
                                                <td>29632</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>561.8277875733255</td>
                                                <td>29456</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>564.4669270258686</td>
                                                <td>30877</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>558.8189753950064</td>
                                                <td>29553</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>574.36698470578</td>
                                                <td>30942</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E9</td>
                                                    <td>571.7187410808883</td>
                                                <td>29669</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>561.6630261043889</td>
                                                <td>18101</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>560.0387735312767</td>
                                                <td>17238</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>568.8019679552563</td>
                                                <td>17514</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>557.9748577824004</td>
                                                <td>17044</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>565.4372136799907</td>
                                                <td>17430</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>558.6212521363425</td>
                                                <td>17024</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>558.4318282282187</td>
                                                <td>17205</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>565.6199458631322</td>
                                                <td>17241</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>564.2134420849738</td>
                                                <td>17855</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>561.197968119239</td>
                                                <td>17526</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>555.4750038243914</td>
                                                <td>17513</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>560.5298969337234</td>
                                                <td>18162</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>564.0610860733796</td>
                                                <td>17559</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>562.3101634289255</td>
                                                <td>17606</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>552.6919009164678</td>
                                                <td>17965</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>549.3936160857047</td>
                                                <td>16924</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>566.7765326833344</td>
                                                <td>17597</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>561.5094050593605</td>
                                                <td>17759</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>555.6171316340959</td>
                                                <td>17912</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>559.1718787426901</td>
                                                <td>17741</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>559.9473962641737</td>
                                                <td>12866</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>557.5731013154432</td>
                                                <td>13081</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>563.4229360628462</td>
                                                <td>13267</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>546.9404097335463</td>
                                                <td>13211</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>563.8663655291726</td>
                                                <td>13162</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>564.890449747972</td>
                                                <td>13474</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>567.7176969505001</td>
                                                <td>13338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>560.1105068647549</td>
                                                <td>13357</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>558.2900754033635</td>
                                                <td>13050</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>551.3293916858256</td>
                                                <td>12705</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>563.2711248567781</td>
                                                <td>13572</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>554.1492190865287</td>
                                                <td>13604</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>556.9368071547718</td>
                                                <td>13741</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>560.8018514531042</td>
                                                <td>13463</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>552.6087436304126</td>
                                                <td>13746</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>561.9388165643837</td>
                                                <td>13411</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>556.1661411972688</td>
                                                <td>13616</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>560.7155639541319</td>
                                                <td>13961</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>552.1904123497866</td>
                                                <td>13672</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>563.4008542034395</td>
                                                <td>13625</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>577.0021676391923</td>
                                                <td>37715</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>584.3381404600392</td>
                                                <td>37435</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>582.9310595363231</td>
                                                <td>37704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>572.4565266700887</td>
                                                <td>38129</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>580.2347032389888</td>
                                                <td>37084</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>581.3377549278929</td>
                                                <td>37377</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>583.8507863395001</td>
                                                <td>36937</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>578.2094661196763</td>
                                                <td>37447</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>577.1385705560624</td>
                                                <td>37160</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>574.3922126300882</td>
                                                <td>38055</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>586.6815488208161</td>
                                                <td>37502</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>575.2778602314346</td>
                                                <td>38044</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>577.0076937692725</td>
                                                <td>37778</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>576.6881912048013</td>
                                                <td>38038</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>581.4517804250764</td>
                                                <td>36749</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>571.2701793846504</td>
                                                <td>38066</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>571.6967912377145</td>
                                                <td>38375</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>570.9252490184539</td>
                                                <td>37862</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>581.2126217898893</td>
                                                <td>37744</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.6E9</td>
                                                    <td>581.9789721527786</td>
                                                <td>38049</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>563.9989894803203</td>
                                                <td>24751</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>567.6354307149251</td>
                                                <td>25164</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>574.3215168899044</td>
                                                <td>25194</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>562.5795363921728</td>
                                                <td>25060</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>549.7471910979081</td>
                                                <td>25592</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>572.1269240686388</td>
                                                <td>26264</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>551.3903486322021</td>
                                                <td>25330</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>565.7210260352421</td>
                                                <td>25738</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>564.8197744384555</td>
                                                <td>25195</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>568.9898307026859</td>
                                                <td>25711</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>565.9577988278695</td>
                                                <td>25667</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>570.4605379602878</td>
                                                <td>25730</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>568.0011536254741</td>
                                                <td>25870</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>560.610871596186</td>
                                                <td>25952</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>571.4886374846999</td>
                                                <td>25901</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>559.6876523281949</td>
                                                <td>25579</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>561.2181386282085</td>
                                                <td>26130</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>551.7388016957259</td>
                                                <td>26152</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>563.509834171608</td>
                                                <td>26715</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E9</td>
                                                    <td>572.6937032642176</td>
                                                <td>25553</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>569.5732165572072</td>
                                                <td>32546</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>571.0744242827932</td>
                                                <td>33229</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>569.265390230578</td>
                                                <td>33268</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>562.3782159900159</td>
                                                <td>33906</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>580.1011895328259</td>
                                                <td>33993</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>565.8845023987869</td>
                                                <td>32777</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>567.4911737945214</td>
                                                <td>32790</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>569.4420052687558</td>
                                                <td>33222</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>577.4284816070929</td>
                                                <td>33527</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>569.1391817044235</td>
                                                <td>33556</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>575.1069348501331</td>
                                                <td>34106</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>570.8158366077474</td>
                                                <td>33952</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>569.0397151463035</td>
                                                <td>34249</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>566.4009968341802</td>
                                                <td>33304</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>568.2955161562888</td>
                                                <td>34092</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>564.1510611500448</td>
                                                <td>34008</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>561.6471449000951</td>
                                                <td>34617</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>564.7656938117133</td>
                                                <td>33927</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>577.0657585937823</td>
                                                <td>34544</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.4E9</td>
                                                    <td>564.0440138481674</td>
                                                <td>32977</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>576.9542513840481</td>
                                                <td>32754</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>575.7639300877004</td>
                                                <td>33890</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>573.2826275632201</td>
                                                <td>33081</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>585.0270945229241</td>
                                                <td>33714</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>580.7328768735485</td>
                                                <td>33506</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>580.8629781171246</td>
                                                <td>33706</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>571.6180492950085</td>
                                                <td>34296</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>577.2638383429596</td>
                                                <td>34011</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>573.8242916962262</td>
                                                <td>32911</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>574.2598975452072</td>
                                                <td>33224</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>575.8972913223669</td>
                                                <td>34231</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>580.541936190522</td>
                                                <td>33768</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>571.8045182107563</td>
                                                <td>34306</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>584.1256478515385</td>
                                                <td>33853</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>577.847102429322</td>
                                                <td>34024</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>583.4803422282861</td>
                                                <td>34395</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>586.5782677062223</td>
                                                <td>33367</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>573.8739153415814</td>
                                                <td>33722</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>586.4076837313744</td>
                                                <td>34146</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.4E9</td>
                                                    <td>581.5444581309076</td>
                                                <td>34348</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>570.593062247154</td>
                                                <td>13182</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>545.2118373771713</td>
                                                <td>13498</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>543.8007166130494</td>
                                                <td>13021</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>555.7293447581895</td>
                                                <td>13214</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>545.2268845279356</td>
                                                <td>12973</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>555.0078192639921</td>
                                                <td>13070</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>562.1548320392677</td>
                                                <td>13035</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>546.6594973141408</td>
                                                <td>13054</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>558.8140187271991</td>
                                                <td>12975</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>560.5019007606026</td>
                                                <td>13260</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>558.6550695365893</td>
                                                <td>13429</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>566.3576448008444</td>
                                                <td>13514</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>555.0450798027301</td>
                                                <td>13179</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>547.4036889716119</td>
                                                <td>13012</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>559.2603946340851</td>
                                                <td>13724</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>553.6418161530646</td>
                                                <td>13617</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>549.0138712970405</td>
                                                <td>13247</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>562.2654356871798</td>
                                                <td>13511</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>556.0645067318413</td>
                                                <td>13536</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>559.4260048947491</td>
                                                <td>13644</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>574.2895799712638</td>
                                                <td>36343</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>570.6208443630936</td>
                                                <td>38165</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>573.7613516303862</td>
                                                <td>37931</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>567.3899742014672</td>
                                                <td>37618</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>571.4779332272076</td>
                                                <td>37659</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>572.5507351270329</td>
                                                <td>37093</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>572.2268738172208</td>
                                                <td>36928</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>570.4425139652723</td>
                                                <td>37417</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>572.7573743085842</td>
                                                <td>37254</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>568.8986399357575</td>
                                                <td>37649</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>571.311461693827</td>
                                                <td>37881</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>573.5008585340951</td>
                                                <td>37706</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>568.4858316355394</td>
                                                <td>37622</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>563.1270555291827</td>
                                                <td>37898</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>570.7623879767867</td>
                                                <td>37496</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>584.9709226624915</td>
                                                <td>38401</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>571.2801458277158</td>
                                                <td>37800</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>571.8209525628995</td>
                                                <td>38283</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>576.878637503032</td>
                                                <td>37756</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.6E9</td>
                                                    <td>561.8798320037207</td>
                                                <td>38243</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>554.9341145781624</td>
                                                <td>16747</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>571.5609056004183</td>
                                                <td>17555</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>559.4306119773014</td>
                                                <td>16989</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>562.4007644338552</td>
                                                <td>17908</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>560.5621626393389</td>
                                                <td>16898</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>564.2747095358461</td>
                                                <td>17065</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>559.5474269750498</td>
                                                <td>16821</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>552.1316717910687</td>
                                                <td>17746</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>566.3652846217905</td>
                                                <td>17868</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>567.3310963755324</td>
                                                <td>17197</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>567.2888604998036</td>
                                                <td>17822</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>566.0333496384831</td>
                                                <td>18254</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>574.5730458776507</td>
                                                <td>17584</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>560.7091962265229</td>
                                                <td>17489</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>576.5185452094014</td>
                                                <td>17691</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>557.9275721632274</td>
                                                <td>17620</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>569.0897170379758</td>
                                                <td>17659</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>568.6773742294531</td>
                                                <td>18254</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>564.8080994330566</td>
                                                <td>18061</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>561.7725790241863</td>
                                                <td>17479</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>560.3576117566586</td>
                                                <td>13144</td>
                        <td></td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>544.1011637148737</td>
                                                <td>8683</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>555.3663335420199</td>
                                                <td>8797</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>530.5557590236517</td>
                                                <td>8365</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>545.5663561868366</td>
                                                <td>8892</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>551.319728421684</td>
                                                <td>8530</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>543.4712174920795</td>
                                                <td>8907</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>541.639419906721</td>
                                                <td>8890</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>556.9899574067441</td>
                                                <td>8708</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>546.3122954130657</td>
                                                <td>8733</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>544.2915377041047</td>
                                                <td>9213</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>543.388028555378</td>
                                                <td>9143</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>554.9287371223774</td>
                                                <td>8965</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>545.9693454465307</td>
                                                <td>8905</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>542.7854622038549</td>
                                                <td>9193</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>554.5968506515875</td>
                                                <td>8876</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>540.3641216010528</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>536.7762354136893</td>
                                                <td>9218</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>534.2317053867316</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>548.3335839655481</td>
                                                <td>9294</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>565.0227535316847</td>
                                                <td>22013</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>563.929762455865</td>
                                                <td>21651</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>562.8180072803586</td>
                                                <td>21449</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>570.2449545600363</td>
                                                <td>20828</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>554.1858483496715</td>
                                                <td>21043</td>
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                        <td>8.0E8</td>
                                                    <td>556.4801496119925</td>
                                                <td>21386</td>
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                        <td>8.0E8</td>
                                                    <td>563.1767673754061</td>
                                                <td>21663</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>553.1842810772661</td>
                                                <td>21296</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>569.4735753400158</td>
                                                <td>21527</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>557.9030643772279</td>
                                                <td>20680</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>566.9297647969875</td>
                                                <td>21620</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>562.0233925884713</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>557.8691271829528</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>563.8703101811565</td>
                                                <td>21230</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>559.3512876434537</td>
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                        <td>8.0E8</td>
                                                    <td>566.7584387338194</td>
                                                <td>21819</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>561.2070354844402</td>
                                                <td>21602</td>
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                                    <tr>
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                        <td>8.0E8</td>
                                                    <td>572.6261374746009</td>
                                                <td>21924</td>
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                        <td>8.0E8</td>
                                                    <td>568.6231987262016</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>568.109819785129</td>
                                                <td>22116</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>559.2199345450766</td>
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                        <td>6.0E8</td>
                                                    <td>558.0984766758952</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>567.2562736822348</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>553.8129746768011</td>
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                                                    <td>550.3679934405377</td>
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                        <td>6.0E8</td>
                                                    <td>562.6399437245612</td>
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                                                    <td>549.6839833160179</td>
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                                                    <td>563.4795920879844</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>557.6004770399531</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>555.7831743702634</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>564.8869857309678</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>552.4794728535494</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>559.7604729129251</td>
                                                <td>17515</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>560.5359509877358</td>
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                                                    <td>561.33531151902</td>
                                                <td>17666</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>555.4286483012463</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>550.0194380731363</td>
                                                <td>18174</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>548.8333138561194</td>
                                                <td>17629</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>563.5357718193984</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>564.870419195798</td>
                                                <td>17798</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>565.7852954532425</td>
                                                <td>29021</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.2E9</td>
                                                    <td>562.6204041687741</td>
                                                <td>28900</td>
                        <td></td>
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                                    <tr>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>542.8332450225611</td>
                                                <td>9025</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>538.9502513452053</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>540.1717303884682</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>548.2353304828649</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>536.938821709423</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>547.7202607950984</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>552.1503822766297</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>565.8992137699995</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>562.3376357065431</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>564.8740539459817</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>551.1306825676295</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>576.2041405894712</td>
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                        <td>8.0E8</td>
                                                    <td>560.966757301885</td>
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                        <td>8.0E8</td>
                                                    <td>560.1745773692983</td>
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                        <td>8.0E8</td>
                                                    <td>564.2967927249454</td>
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                        <td>8.0E8</td>
                                                    <td>565.3043705983407</td>
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                        <td>8.0E8</td>
                                                    <td>565.3671799877006</td>
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                        <td>8.0E8</td>
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                        <td>8.0E8</td>
                                                    <td>570.8339255012241</td>
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                        <td>8.0E8</td>
                                                    <td>563.2660081688231</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>570.2373176510969</td>
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                        <td>8.0E8</td>
                                                    <td>560.1551604412193</td>
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                        <td>8.0E8</td>
                                                    <td>565.2018547164984</td>
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                        <td>8.0E8</td>
                                                    <td>565.9331082493184</td>
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                        <td>8.0E8</td>
                                                    <td>557.4121636407453</td>
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                        <td>8.0E8</td>
                                                    <td>564.7245698541135</td>
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                        <td>8.0E8</td>
                                                    <td>566.5585589140933</td>
                                                <td>22230</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>575.0398377121692</td>
                                                <td>28065</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>585.5263734040881</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E9</td>
                                                    <td>582.0618200451546</td>
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                                                    <td>574.8028460843618</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                                                    <td>578.4778459912845</td>
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                                                    <td>577.5800883362419</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>572.717568000082</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>580.5608461905902</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                                                    <td>576.4410230003527</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>575.0725511675566</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>566.330890594162</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>574.6478871415577</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>571.6021539289518</td>
                                                <td>26089</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E9</td>
                                                    <td>578.1176268646535</td>
                                                <td>25775</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
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                                                    <td>562.2932972638906</td>
                                                <td>14138</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>562.0053343037064</td>
                                                <td>13302</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>546.9297627641092</td>
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                                                    <td>556.6455838001173</td>
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                                                    <td>554.7391005961047</td>
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                                                    <td>554.7465587068498</td>
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                                                    <td>553.8288265694556</td>
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                                                    <td>554.9109518164282</td>
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                                                    <td>563.9664578366096</td>
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                                                    <td>576.9618998946199</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>575.9362999080905</td>
                                                <td>37541</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>575.3086143042026</td>
                                                <td>37363</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>567.6197097155313</td>
                                                <td>37607</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>566.2562684852342</td>
                                                <td>37879</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>569.1014077145168</td>
                                                <td>38143</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>565.8797279851174</td>
                                                <td>37325</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>573.2700908848204</td>
                                                <td>38147</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>567.6908419157986</td>
                                                <td>38180</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>567.9513504498952</td>
                                                <td>38137</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>571.8106284096789</td>
                                                <td>38034</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>563.9221336417003</td>
                                                <td>37817</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>579.9017106356167</td>
                                                <td>38100</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>573.323631583952</td>
                                                <td>38480</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>563.276360803747</td>
                                                <td>38242</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>559.3235225277301</td>
                                                <td>37900</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.6E9</td>
                                                    <td>566.2775502083906</td>
                                                <td>38530</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>564.1389450622748</td>
                                                <td>32326</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>567.1654923330794</td>
                                                <td>33422</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>569.9020261930082</td>
                                                <td>33453</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>571.224254114861</td>
                                                <td>32360</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>564.9576915679482</td>
                                                <td>33306</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>563.7535248352262</td>
                                                <td>33622</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>572.9085991045199</td>
                                                <td>34004</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>564.9349025722573</td>
                                                <td>33541</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>562.7473409553306</td>
                                                <td>33035</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>571.5678530799352</td>
                                                <td>33579</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>567.6027184113344</td>
                                                <td>33997</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>566.7144800566361</td>
                                                <td>33588</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>567.5778858134122</td>
                                                <td>33908</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>565.1339052732332</td>
                                                <td>34278</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>575.2220049513359</td>
                                                <td>33536</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>567.498864428482</td>
                                                <td>34051</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>568.4893205291331</td>
                                                <td>34752</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>571.1711467866909</td>
                                                <td>33526</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>579.5584073019274</td>
                                                <td>34545</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.4E9</td>
                                                    <td>569.6687901244197</td>
                                                <td>34072</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>567.7839177818734</td>
                                                        <td>29689.450000000004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>4.410185849440905</td>
                                                        <td>516.2286799471714</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>565.7198872693457</td>
                                                        <td>29447.84754077759</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>569.847948294401</td>
                                                        <td>29931.052459222417</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>560.4768445433647</td>
                                                        <td>17545.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>4.818140977298585</td>
                                                        <td>356.4262084994082</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>558.2218851538267</td>
                                                        <td>17378.987399596645</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>562.7318039329026</td>
                                                        <td>17712.612600403354</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>558.8133932004101</td>
                                                        <td>13396.099999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>5.319569505739221</td>
                                                        <td>317.1114530952975</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>556.3237580357721</td>
                                                        <td>13247.687271510644</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>561.3030283650481</td>
                                                        <td>13544.512728489353</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.6E9</td>
                            <td>mean</td>
                                                            <td>578.3041138076371</td>
                                                        <td>37662.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.6E9</td>
                            <td>std dev</td>
                                                            <td>4.6856866652407</td>
                                                        <td>441.03950175155904</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.6E9</td>
                            <td>low</td>
                                                            <td>576.1111449443348</td>
                                                        <td>37456.087159380004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.6E9</td>
                            <td>high</td>
                                                            <td>580.4970826709394</td>
                                                        <td>37868.912840619996</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>564.3348849017462</td>
                                                        <td>25662.4</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>7.100368487688399</td>
                                                        <td>466.7345013354412</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>561.011810158618</td>
                                                        <td>25443.961529401797</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>567.6579596448745</td>
                                                        <td>25880.838470598206</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.4E9</td>
                            <td>mean</td>
                                                            <td>569.1555226632729</td>
                                                        <td>33629.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.4E9</td>
                            <td>std dev</td>
                                                            <td>5.065407759202346</td>
                                                        <td>597.838518947083</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.4E9</td>
                            <td>low</td>
                                                            <td>566.784838857575</td>
                                                        <td>33349.702960420014</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.4E9</td>
                            <td>high</td>
                                                            <td>571.5262064689708</td>
                                                        <td>33909.297039579986</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.4E9</td>
                            <td>mean</td>
                                                            <td>578.5845499285422</td>
                                                        <td>33762.65000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.4E9</td>
                            <td>std dev</td>
                                                            <td>4.866459699277002</td>
                                                        <td>490.4349600099867</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.4E9</td>
                            <td>low</td>
                                                            <td>576.3069766810186</td>
                                                        <td>33533.11937330336</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.4E9</td>
                            <td>high</td>
                                                            <td>580.8621231760658</td>
                                                        <td>33992.18062669666</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>555.541671306922</td>
                                                        <td>13284.749999999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>7.432244022019463</td>
                                                        <td>250.59484495054915</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>552.0632740325885</td>
                                                        <td>13167.468002388574</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>559.0200685812555</td>
                                                        <td>13402.031997611422</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.6E9</td>
                            <td>mean</td>
                                                            <td>571.4216953238289</td>
                                                        <td>37657.14999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.6E9</td>
                            <td>std dev</td>
                                                            <td>4.748441407799757</td>
                                                        <td>491.38539650129974</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.6E9</td>
                            <td>low</td>
                                                            <td>569.1993563369377</td>
                                                        <td>37427.17455533301</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.6E9</td>
                            <td>high</td>
                                                            <td>573.64403431072</td>
                                                        <td>37887.12544466696</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>564.2968543934062</td>
                                                        <td>17535.35</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>6.219050545132931</td>
                                                        <td>453.7714791204469</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>561.3862491440303</td>
                                                        <td>17322.978410549153</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>567.207459642782</td>
                                                        <td>17747.721589450844</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>546.0672725457595</td>
                                                        <td>9162.550000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>7.763495770666088</td>
                                                        <td>978.2240877168553</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>542.4338446809076</td>
                                                        <td>8704.727034241529</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>549.7007004106114</td>
                                                        <td>9620.372965758474</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>563.1893838278368</td>
                                                        <td>21610.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>5.456774283535146</td>
                                                        <td>439.92279226915963</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>560.6355348505606</td>
                                                        <td>21404.309795505556</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>565.7432328051129</td>
                                                        <td>21816.090204494445</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>557.981430440461</td>
                                                        <td>17471.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>5.709971031893622</td>
                                                        <td>358.4268405128169</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>555.3090817372944</td>
                                                        <td>17303.551074992425</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>560.6537791436277</td>
                                                        <td>17639.048925007573</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>566.7699053165497</td>
                                                        <td>29789.399999999998</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>5.24845662241984</td>
                                                        <td>574.3008014327648</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>564.3135520057872</td>
                                                        <td>29520.618951310957</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>569.2262586273123</td>
                                                        <td>30058.18104868904</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>567.6727673676037</td>
                                                        <td>25664.75</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>3.8133200068891093</td>
                                                        <td>656.0505335959883</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>565.8880786680903</td>
                                                        <td>25357.708898937602</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>569.457456067117</td>
                                                        <td>25971.791101062398</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>546.8587634586207</td>
                                                        <td>9055.75</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>6.245053077889746</td>
                                                        <td>211.87878237580168</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>543.9359886493113</td>
                                                        <td>8956.587677433414</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>549.7815382679302</td>
                                                        <td>9154.912322566586</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>569.4825511953794</td>
                                                        <td>21631.05</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>5.925134131393331</td>
                                                        <td>464.4313415916624</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>566.709503061917</td>
                                                        <td>21413.68944134217</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>572.2555993288419</td>
                                                        <td>21848.41055865783</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>546.2677009793053</td>
                                                        <td>8976.800000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>8.126457348532869</td>
                                                        <td>150.61334252770718</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>542.4644018670349</td>
                                                        <td>8906.310785897977</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>550.0710000915758</td>
                                                        <td>9047.289214102026</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>564.0650468157314</td>
                                                        <td>21615.250000000004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>5.223829719757901</td>
                                                        <td>532.7964828199046</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>561.6202192502002</td>
                                                        <td>21365.893570350425</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>566.5098743812626</td>
                                                        <td>21864.606429649582</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>mean</td>
                                                            <td>577.1630868270993</td>
                                                        <td>29650.949999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>std dev</td>
                                                            <td>4.786998929267871</td>
                                                        <td>690.0061384166327</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>low</td>
                                                            <td>574.9227023646852</td>
                                                        <td>29328.017186702837</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E9</td>
                            <td>high</td>
                                                            <td>579.4034712895134</td>
                                                        <td>29973.882813297158</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>mean</td>
                                                            <td>573.616260867927</td>
                                                        <td>25767.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>std dev</td>
                                                            <td>4.838699234716546</td>
                                                        <td>468.29523975687425</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>low</td>
                                                            <td>571.3516799177467</td>
                                                        <td>25548.131081335912</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E9</td>
                            <td>high</td>
                                                            <td>575.8808418181075</td>
                                                        <td>25986.468918664086</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>554.6012761379563</td>
                                                        <td>13253.300000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>6.054006962135066</td>
                                                        <td>386.94867060659425</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>551.7679136631107</td>
                                                        <td>13072.202447611078</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>557.434638612802</td>
                                                        <td>13434.397552388924</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.6E9</td>
                            <td>mean</td>
                                                            <td>569.739981799677</td>
                                                        <td>37758.4</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.6E9</td>
                            <td>std dev</td>
                                                            <td>5.306483065124642</td>
                                                        <td>615.9873887977678</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.6E9</td>
                            <td>low</td>
                                                            <td>567.2564712777754</td>
                                                        <td>37470.10902786966</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.6E9</td>
                            <td>high</td>
                                                            <td>572.2234923215786</td>
                                                        <td>38046.690972130345</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.4E9</td>
                            <td>mean</td>
                                                            <td>568.5969076747525</td>
                                                        <td>33645.049999999996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.4E9</td>
                            <td>std dev</td>
                                                            <td>4.185676486443217</td>
                                                        <td>611.9360540207822</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.4E9</td>
                            <td>low</td>
                                                            <td>566.637950778484</td>
                                                        <td>33358.65511091051</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.4E9</td>
                            <td>high</td>
                                                            <td>570.5558645710211</td>
                                                        <td>33931.44488908948</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7244490369985374</td>
                                                                            <td>0.9368521803005176</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.7244490369985374</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7979586031294149</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.9368521803005176</td>
                                                                            <td>0.7979586031294149</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.02487980550834247</td>
                                                                            <td>0.6634459719658219</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.02487980550834247</td>
                                                                            <td>1.0</td>
                                                                            <td>0.11854673328268273</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6634459719658219</td>
                                                                            <td>0.11854673328268273</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 6.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.03660441315749974</td>
                                                                            <td>0.14373863036993462</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.03660441315749974</td>
                                                                            <td>1.0</td>
                                                                            <td>0.0018689255921153147</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.14373863036993462</td>
                                                                            <td>0.0018689255921153147</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.001232394102040762</td>
                                                                            <td>0.6071881503996159</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.001232394102040762</td>
                                                                            <td>1.0</td>
                                                                            <td>0.004002812853587691</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6071881503996159</td>
                                                                            <td>0.004002812853587691</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.0E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>1.1909846218455664E-4</td>
                                                                            <td>0.07416855430591643</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>1.1909846218455664E-4</td>
                                                                            <td>1.0</td>
                                                                            <td>2.9334980390148307E-5</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.07416855430591643</td>
                                                                            <td>2.9334980390148307E-5</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.2E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>1.0674163105312064E-7</td>
                                                                            <td>0.5124030619316342</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>1.0674163105312064E-7</td>
                                                                            <td>1.0</td>
                                                                            <td>1.4434537331258405E-7</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5124030619316342</td>
                                                                            <td>1.4434537331258405E-7</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.4E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>5.669652177232641E-7</td>
                                                                            <td>0.7059997440565609</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>5.669652177232641E-7</td>
                                                                            <td>1.0</td>
                                                                            <td>3.1434673035883844E-8</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.7059997440565609</td>
                                                                            <td>3.1434673035883844E-8</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.6E9</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>3.823428736222378E-6</td>
                                                                            <td>0.2976386494044284</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>3.823428736222378E-6</td>
                                                                            <td>1.0</td>
                                                                            <td>4.40263635224599E-5</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.2976386494044284</td>
                                                                            <td>4.40263635224599E-5</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
        </div><!-- container -->
    </body>
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                datasets = [{"label":"ClaransTest","data":[{"x":2.0E8,"y":546.0672725457595},{"x":4.0E8,"y":554.6012761379563},{"x":6.0E8,"y":560.4768445433647},{"x":8.0E8,"y":563.1893838278368},{"x":1.0E9,"y":567.6727673676037},{"x":1.2E9,"y":566.7699053165497},{"x":1.4E9,"y":569.1555226632729},{"x":1.6E9,"y":569.739981799677}]},{"label":"SimulatedAnnealingTest","data":[{"x":2.0E8,"y":546.2677009793053},{"x":4.0E8,"y":555.541671306922},{"x":6.0E8,"y":557.981430440461},{"x":8.0E8,"y":564.0650468157314},{"x":1.0E9,"y":564.3348849017462},{"x":1.2E9,"y":567.7839177818734},{"x":1.4E9,"y":568.5969076747525},{"x":1.6E9,"y":571.4216953238289}]},{"label":"HeuristicTest","data":[{"x":2.0E8,"y":546.8587634586207},{"x":4.0E8,"y":558.8133932004101},{"x":6.0E8,"y":564.2968543934062},{"x":8.0E8,"y":569.4825511953794},{"x":1.0E9,"y":573.616260867927},{"x":1.2E9,"y":577.1630868270993},{"x":1.4E9,"y":578.5845499285422},{"x":1.6E9,"y":578.3041138076371}]}];
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        });
        
        // Runtime
        datasets = [{"label":"ClaransTest","data":[{"x":2.0E8,"y":9162.550000000001},{"x":4.0E8,"y":13253.300000000001},{"x":6.0E8,"y":17545.8},{"x":8.0E8,"y":21610.2},{"x":1.0E9,"y":25664.75},{"x":1.2E9,"y":29789.399999999998},{"x":1.4E9,"y":33629.5},{"x":1.6E9,"y":37758.4}]},{"label":"SimulatedAnnealingTest","data":[{"x":2.0E8,"y":8976.800000000001},{"x":4.0E8,"y":13284.749999999998},{"x":6.0E8,"y":17471.3},{"x":8.0E8,"y":21615.250000000004},{"x":1.0E9,"y":25662.4},{"x":1.2E9,"y":29689.450000000004},{"x":1.4E9,"y":33645.049999999996},{"x":1.6E9,"y":37657.14999999999}]},{"label":"HeuristicTest","data":[{"x":2.0E8,"y":9055.75},{"x":4.0E8,"y":13396.099999999999},{"x":6.0E8,"y":17535.35},{"x":8.0E8,"y":21631.05},{"x":1.0E9,"y":25767.3},{"x":1.2E9,"y":29650.949999999997},{"x":1.4E9,"y":33762.65000000001},{"x":1.6E9,"y":37662.5}]}];
        title = "20170629185841 - time";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_time"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
    </script>
</html>
